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Panagiotis I. Dallas

Researcher at Intracom

Publications -  23
Citations -  296

Panagiotis I. Dallas is an academic researcher from Intracom. The author has contributed to research in topics: Communication channel & Power delay profile. The author has an hindex of 9, co-authored 23 publications receiving 240 citations.

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Journal ArticleDOI

A Survey of IoT Key Enabling and Future Technologies: 5G, Mobile IoT, Sematic Web and Applications

TL;DR: This paper examines, review and present the current IoT technologies starting from the physical layer to the application and data layer, and focuses on future IoT key enabling technologies like the new fifth generation (5G) networks and Semantic Web.
Journal ArticleDOI

Development and On-Field Testing of Low-Cost Portable System for Monitoring PM2.5 Concentrations

TL;DR: On-field testing of the proposed low-cost APMS implementation is presented using roadside measurements from a mobile laboratory equipped with a calibrated instrument as the basis of comparison and its accuracy on characterizing the PM2.5 concentrations on 1 min resolution in an on-road trial is showcased.
Proceedings ArticleDOI

Measurements and Wideband Channel Characterization for Over-the-sea Propagation

TL;DR: Results on the characterization of the over-the-sea wideband mobile radio channel led to the development of path loss, log-distance models and the behavior of the power delay profile are presented.
Journal ArticleDOI

Design, architecture and implementation of a residential energy box management tool in a SmartGrid

TL;DR: In this article, the authors presented the energy box concept in the context of the V2G (vehicle-to-grid) technology to address the energy management needs of a modern residence, considering that the available infrastructure includes micro-renewable energy sources in the form of solar and wind power, the electricity loads consist of smart appliances, while the battery of an EV (electric vehicle) plays the role of local storage.
Journal ArticleDOI

Cognitive Radio Engine Design for IoT Using Real-Coded Biogeography-Based Optimization and Fuzzy Decision Making

TL;DR: The simulation results show that the RCBBO driven CR engine can obtain better results than the original BBO and outperform results from the literature and is more efficient when applied to high-dimensional problems in cases of multicarrier system.